| Calculations of Sobol indices for the Gaussian process metamodel A Marrel, B Iooss, B Laurent, O Roustant Reliability Engineering & System Safety 94 (3), 742-751, 2009 | 388 | 2009 |
| An efficient methodology for modeling complex computer codes with Gaussian processes A Marrel, B Iooss, F Van Dorpe, E Volkova Computational Statistics & Data Analysis 52 (10), 4731-4744, 2008 | 307 | 2008 |
| Global sensitivity analysis of stochastic computer models with joint metamodels A Marrel, B Iooss, S Da Veiga, M Ribatet Statistics and Computing 22, 833-847, 2012 | 163 | 2012 |
| Gaussian process modeling with inequality constraints S Da Veiga, A Marrel Annales de la Faculté des sciences de Toulouse: Mathématiques 21 (3), 529-555, 2012 | 108 | 2012 |
| Global sensitivity analysis for models with spatially dependent outputs A Marrel, B Iooss, M Jullien, B Laurent, E Volkova Environmetrics 22 (3), 383-397, 2011 | 107 | 2011 |
| Numerical studies of the metamodel fitting and validation processes B Iooss, L Boussouf, V Feuillard, A Marrel arXiv preprint arXiv:1001.1049, 2010 | 98 | 2010 |
| New improvements in the use of dependence measures for sensitivity analysis and screening M De Lozzo, A Marrel Journal of Statistical Computation and Simulation 86 (15), 3038-3058, 2016 | 53 | 2016 |
| Development of a surrogate model and sensitivity analysis for spatio-temporal numerical simulators A Marrel, N Perot, C Mottet Stochastic environmental research and risk assessment 29, 959-974, 2015 | 49 | 2015 |
| Adaptive test of independence based on HSIC measures M Albert, B Laurent, A Marrel, A Meynaoui The Annals of Statistics 50 (2), 858-879, 2022 | 48* | 2022 |
| Statistical developments for target and conditional sensitivity analysis: application on safety studies for nuclear reactor A Marrel, V Chabridon Reliability Engineering & System Safety 214, 107711, 2021 | 46 | 2021 |
| Advanced methodology for uncertainty propagation in computer experiments with large number of inputs B Iooss, A Marrel Nuclear Technology, 2019 | 40 | 2019 |
| Sensitivity analysis with dependence and variance-based measures for spatio-temporal numerical simulators M De Lozzo, A Marrel Stochastic environmental research and risk assessment 31, 1437-1453, 2017 | 39 | 2017 |
| Prediction under uncertainty on a mature field M Feraille, A Marrel Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 67 (2), 193-206, 2012 | 37 | 2012 |
| Gaussian process regression with linear inequality constraints S Da Veiga, A Marrel Reliability Engineering & System Safety 195, 106732, 2020 | 33 | 2020 |
| Advanced surrogate model and sensitivity analysis methods for sodium fast reactor accident assessment A Marrel, N Marie, M De Lozzo Reliability Engineering & System Safety 138, 232-241, 2015 | 31 | 2015 |
| Sampling, metamodeling, and sensitivity analysis of numerical simulators with functional stochastic inputs S Nanty, C Helbert, A Marrel, N Pérot, C Prieur SIAM/ASA Journal on Uncertainty Quantification 4 (1), 636-659, 2016 | 30 | 2016 |
| Uncertainty quantification for functional dependent random variables S Nanty, C Helbert, A Marrel, N Pérot, C Prieur Computational Statistics 32, 559-583, 2017 | 27 | 2017 |
| Sensitivity analysis of spatial and/or temporal phenomena A Marrel, N Saint-Geours, M De Lozzo Handbook of Uncertainty Quantification, 1327-1357, 2017 | 27 | 2017 |
| Physico-statistical approach to assess the core damage variability due to a total instantaneous blockage of SFR fuel sub-assembly N Marie, A Marrel, JM Seiler, F Bertrand Nuclear engineering and Design 297, 343-353, 2016 | 23 | 2016 |
| New statistical methodology for second level global sensitivity analysis A Meynaoui, A Marrel, B Laurent arXiv preprint arXiv:1902.07030, 2019 | 22 | 2019 |
